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Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network
Intracranial aneurysm (IA) is an enormous threat to human health, which often results in nontraumatic subarachnoid hemorrhage or dismal prognosis. Diagnosing IAs on commonly used computed tomographic angiography (CTA) examinations remains laborious and time consuming, leading to error-prone results...
Autores principales: | Bo, Zi-Hao, Qiao, Hui, Tian, Chong, Guo, Yuchen, Li, Wuchao, Liang, Tiantian, Li, Dongxue, Liao, Dan, Zeng, Xianchun, Mei, Leilei, Shi, Tianliang, Wu, Bo, Huang, Chao, Liu, Lu, Jin, Can, Guo, Qiping, Yong, Jun-Hai, Xu, Feng, Zhang, Tijiang, Wang, Rongpin, Dai, Qionghai |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892358/ https://www.ncbi.nlm.nih.gov/pubmed/33659913 http://dx.doi.org/10.1016/j.patter.2020.100197 |
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